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Cross-Venue Liquidity Provision: High Frequency Trading and Ghost Liquidity

Author

Listed:
  • Hans Degryse

    (KU Leuven - Catholic University of Leuven = Katholieke Universiteit Leuven)

  • Rudy de Winne

    (Louvain School of Management - UCL - Université Catholique de Louvain = Catholic University of Louvain)

  • Carole Gresse

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Richard Payne

    (Cass Business School - City University London - City University London)

Abstract

We measure the extent to which consolidated liquidity in modern fragmented equity markets overstates true liquidity due to a phenomenon that we call Ghost Liquidity (GL) . GL exists when traders place duplicate limit orders on competing venues, intending for only one of the orders to execute, and when one does execute, duplicates are cancelled. We employ data from 2013, covering 91 stocks trading on their primary exchanges and three alternative platforms and where order submitters are identified consistently across venues, to measure the incidence of GL and to investigate its determinants. On average, for every 100 shares passively traded by a multi-market liquidity supplier on a given venue, slightly more than 19 shares are immediately cancelled by the same liquidity supplier on a different venue. This percentage is significantly greater for HFTs than for non-HFTs and for those trading as principal. GL is larger on alternative platforms than on primary exchanges. Overall, GL implies that simply measured consolidated liquidity exceeds true consolidated liquidity but its average weight in total consolidated depth, i.e., slightly more than 4%, does not challenge the liquidity benefits of fragmentation.

Suggested Citation

  • Hans Degryse & Rudy de Winne & Carole Gresse & Richard Payne, 2018. "Cross-Venue Liquidity Provision: High Frequency Trading and Ghost Liquidity," Post-Print hal-01947824, HAL.
  • Handle: RePEc:hal:journl:hal-01947824
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    References listed on IDEAS

    as
    1. Hans Degryse & Frank de Jong & Vincent van Kervel, 2015. "The Impact of Dark Trading and Visible Fragmentation on Market Quality," Review of Finance, European Finance Association, vol. 19(4), pages 1587-1622.
    2. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
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    5. Andrei Kirilenko & Albert S. Kyle & Mehrdad Samadi & Tugkan Tuzun, 2017. "The Flash Crash: High-Frequency Trading in an Electronic Market," Journal of Finance, American Finance Association, vol. 72(3), pages 967-998, June.
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    9. repec:bla:jfinan:v:53:y:1998:i:5:p:1623-1656 is not listed on IDEAS
    10. Hasbrouck, Joel & Saar, Gideon, 2009. "Technology and liquidity provision: The blurring of traditional definitions," Journal of Financial Markets, Elsevier, vol. 12(2), pages 143-172, May.
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    14. Carole Gresse, 2017. "Effects of Lit and Dark Market Fragmentation on Liquidity," Post-Print hal-01631771, HAL.
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    Cited by:

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    2. Griffith, Todd G. & Roseman, Brian S., 2019. "Making cents of tick sizes: The effect of the 2016 U.S. SEC tick size pilot on limit order book liquidity," Journal of Banking & Finance, Elsevier, vol. 101(C), pages 104-121.
    3. Banerjee, Anirban & Nawn, Samarpan, 2024. "Proprietary algorithmic traders and liquidity supply during the pandemic," Finance Research Letters, Elsevier, vol. 61(C).

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